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文章写作

撰写文章、指南、博客帖子、教程、通讯文章以及其他长格式内容,并能够根据提供的示例或品牌指南,模仿特定的声音风格。

文章写作 是什么?

“文章写作”技能专为需要创作具有真实人类风格的长篇内容而设计,能避免 LLM 常有的模板化语气。它适合用于博客、指南、教程、通讯等多种场景,并且支持通过“品牌声音”技能进行声音定制。该技能强调以具体证据(如代码、示例、数据)引领内容,而不是空泛的修饰,并严格禁止使用某些陈词滥调。其写作流程从明确受众和目标开始,构建硬性大纲,再逐一展开每一部分,最终通过一个质量检查门控确保事实有据、声音一致、结构完整。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/article-writing

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

文章写作 是做什么的?

撰写听起来像真实人类且有立场的长篇内容,而不是像 LLM 那样平滑得像浆糊。

何时激活

  • 起草博客文章、随笔、发布帖、指南、教程或通讯文章
  • 将笔记、转录稿或研究资料整理成精美的文章
  • 根据示例匹配已有的创始人、运营者或品牌的声音风格
  • 优化已有长篇文案的结构、节奏和论据

核心规则

  1. 以具体事物开头:成果物、示例、输出、逸事、数字、截图或代码。
  2. 先举例,后解释。
  3. 除非原始声音风格刻意冗长,否则保持句子精炼。
  4. 用证据代替形容词。
  5. 绝不捏造事实、可信度或客户证据。

声音风格处理

如果用户需要特定声音风格,请先运行 brand-voice 并复用其 VOICE PROFILE。 除非用户明确要求,否则不要在此处重复进行第二次风格分析。

如果没有提供声音风格参考,默认使用犀利的运营者风格:具体、不煽情、实用。

禁止模式

删除并重写以下任何内容:

  • “在当今快速发展的格局中”
  • “颠覆者”、“前沿”、“革命性”
  • “这就是为什么这很重要”——作为独立的过渡句
  • 虚假的脆弱性情绪起伏
  • 仅为了增加互动而添加的结尾问题
  • 对论点无推动作用的个人背景介绍填充
  • 泛泛的 AI 客套话,拖延核心观点

写作流程

  1. 明确受众和目的。
  2. 构建硬性大纲,每个部分承担一个任务。
  3. 以证据、成果、冲突或示例开始每个部分。
  4. 仅当下一句值得占据空间时才进行扩展。
  5. 删除任何听起来像是模板化、过度解释或自我表扬的内容。

结构指导

技术指南

  • 以读者能获得什么开头
  • 在主要部分使用代码、命令、截图或具体输出
  • 以可执行建议结尾,而不是温和的总结

随笔/观点文章

  • 以张力、矛盾或具体观察开头
  • 每个部分只保留一条论据主线
  • 让观点回应证据

通讯文章

  • 让第一屏做真正的工作
  • 不要一开始就用日记式填充
  • 仅当能提高可扫描性时,才使用段落标题

质量检查门控

交付前:

  • 所有事实陈述均有提供的来源支撑
  • 删除所有通用的 AI 过渡语句
  • 声音风格与提供的示例或约定的 VOICE PROFILE 一致
  • 每个部分都能带来新内容
  • 格式符合预期媒介要求

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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